A zero-shot learning framework for maize cob phenotyping

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
IEEE

Infantile Spasm Detection Based on Spatio-Temporal Attention Graphconv U-Net

Abstract: Accurate detection of infantile spasms is crucial for timely intervention and treatment. The widespread use of electroencephalography (EEG) is limited, hindering the popularization of ...
Frontiers

Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures

1 School of Computation and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania 2 Faculty of Science and Technology, Mzumbe ...
The New York Times

Teens Are Using Chatbots as Therapists. That’s Alarming.

Dr. McBain studies policies and technologies that serve vulnerable populations. On any given night, countless teenagers confide in artificial intelligence chatbots — sharing their loneliness, anxiety ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Frontiers

Integrated neural network framework for multi-object detection and recognition using UAV imagery

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...